| contributor author | Xie, Yuchen | |
| contributor author | Du, Danfeng | |
| contributor author | Liu, Yang | |
| date accessioned | 2026-08-20T21:22:39Z | |
| date available | 2026-08-20T21:22:39Z | |
| date copyright | 2025/07/24 | |
| date issued | 2025 | |
| identifier other | JCCEE5.CPENG-6164.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314360 | |
| description abstract | AbstractVehicle detection tasks in autonomous driving scenarios face challenges such as illumination
changes, motion blur, and target occlusion. This paper proposes a vehicle detector
RepViT efficient-you only look once (RE-YOLO) for autonomous driving ...Practical ApplicationsThe ability of autonomous vehicles to detect other vehicles quickly and accurately
is crucial for ensuring road safety and improving traffic efficiency. This research
has significant real-world applications in the field of self-... | |
| publisher | American Society of Civil Engineers | |
| title | RE-YOLO: Vehicle Detector Based on Knowledge Distillation YOLOv8 for Autonomous Driving Scenarios | |
| type | Journal Article | |
| journal volume | 39 | |
| journal issue | 6 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-6164 | |
| journal fristpage | 04025084-1 | |
| journal lastpage | 04025084-16 | |
| page | 16 | |
| tree | Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006 | |
| contenttype | Fulltext | |